Mycobacterial Virulence Factors: Surface-Exposed Lipids and Secreted Proteins
Bibliographic record
Abstract
The clinically important Mycobacterium tuberculosis (M. tb) and related mycobacterial pathogens use various virulence mechanisms to survive and cause disease in their hosts. Several well-established virulence factors include the surface-exposed lipids in the mycobacterial outer membrane, as well as the Esx family proteins and the Pro-Glu (PE)/ Pro-Pro-Glu (PPE) family proteins secreted by type VII secretion systems (T7SS). Five ESX T7SS exist in M. tb and three—EsxA secretion system-1 (ESX-1), ESX-3, and ESX-5—have been implicated in virulence, yet only the structures of ESX-3 and ESX-5 have been solved to date. Here, we summarize the current research on three outer membrane lipids—phthiocerol dimycocerosates, phenolic glycolipids, and sulfolipids—as well as the secretion machinery and substrates of three mycobacterial T7SS—ESX-1, ESX-3, and ESX-5. We propose a structural model of the M. tb ESX-1 system based on the latest structural findings of the ESX-3 and ESX-5 secretion apparatuses to gain insight into the transport mechanism of ESX-associated virulence factors.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".